Results 21 to 30 of about 296,550 (316)
Remote Sensing, 2022 In high-resolution earth observation systems, object detection in high spatial resolution remote sensing images (HSRIs) is the key technology for automatic extraction, analysis and understanding of image information.
Zhipeng Dong +5 more
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Probabilistic, Features-Based Object Recognition [PDF]
, 2008 Object recognition is of fundamental importance in computer vision. In a few years, pedestrian detection, car detection, and more generally scene recognition will likely be reliable enough to allow fully-automated car navigation, and the human driver ...
Moreels, Pierre
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A Two-Phase Super-Resolution Quantization Scheme Optimized by Sequential Grading and Data Bias Correction [PDF]
Jisuanji gongchengModel quantization technology effectively reduces model storage and computational overhead by mapping high-precision floating-point data to low-bit discrete spaces.
HAO Liang, SU Bohejun, WANG Jinghua, XU Yong
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A 3D extension to cortex like mechanisms for 3D object class recognition [PDF]
, 2012 We introduce a novel 3D extension to the hierarchical visual cortex model used for prior work in 2D object recognition. Prior work on the use of the visual cortex standard model for the explicit task of object class recognition has solely concentrated on
Flitton, G. +8 more
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Object detection grammars [PDF]
2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), 2011 In this talk I will discuss various aspects of object detection using compositional models, focusing on the framework of object detection grammars, discriminative training and efficient computation.
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Modeling and Predicting Object Attention in Natural Scenes [PDF]
, 2011 Humans automatically attend to certain objects in a scene. Better understanding this process could improve a computer's ability to parse scene images and convey information about them to humans. This thesis is arranged in three parts.
Spain, Merrielle Therese
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Moving Shadow Detection in Video Using Cepstrum [PDF]
, 2010 Moving shadows constitute problems in various applications such as image segmentation and object tracking. The main cause of these problems is the misclassification of the shadow pixels as target pixels.
Cogun, Fuat, Cetin, Ahmet Enis
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Described Object Detection: Liberating Object Detection with Flexible Expressions
Advances in Neural Information Processing Systems 36, 2023 Detecting objects based on language information is a popular task that includes Open-Vocabulary object Detection (OVD) and Referring Expression Comprehension (REC). In this paper, we advance them to a more practical setting called Described Object Detection (DOD) by expanding category names to flexible language expressions for OVD and overcoming the ...
Chi Xie +5 more
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Video Object Detection Guided by Object Blur Evaluation
IEEE Access, 2020 In recent years, the excellent image-based object detection algorithms are transferred to the video object detection directly. These frame-by-frame processing methods are suboptimal owing to the degenerate object appearance such as motion blur, defocus ...
Yujie Wu +4 more
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